
10,000+ employees
🛍️ eCommerce
🚗 Transport
eCommerce • Transport • Logistics
InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.
🕒 June 4
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10,000+ employees
🛍️ eCommerce
🚗 Transport
eCommerce • Transport • Logistics
InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.
• Designing routing and allocation algorithms for parcel delivery. • Solving large-scale optimization problems (vehicles, routes, constraints, costs). • Applying graph-based methods, clustering, regression and forecasting. • Building models that directly impact delivery speed, cost efficiency and customer experience. • Shipping solutions into production - not just experiments.
• ~3+ years in Data Science / ML roles. • Strong Python skills and experience with data/ML libraries. • Experience working with large-scale datasets. • Solid understanding of ML methods (regression, clustering, forecasting, etc.). • Ability to translate business problems into data solutions. • Have worked on optimization problems (routing, scheduling, operations research). • Know graph-based approaches or network problems. • Have built models that are used in production at scale. • Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake). • Have experience with ML Ops / CI/CD pipelines. • Are familiar with optimization techniques (linear programming, heuristics). • Are familiar with Kedro or similar frameworks.
• Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts. • Excellent working environment and flexible hours. • Investing in providing training opportunities for people development.
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